Travis I. Moore
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
-
- Fungal and yeast genetics research 4
- Mitochondrial Function and Pathology 2
-
- Cellular Mechanics and Interactions 3
- Co-authors
- Tau‐Mu Yi (4 shared papers)Timothy A. Springer (3 shared papers)Noo Li Jeon (3 shared papers)Qing Nie (3 shared papers)Ching‐Shan Chou (3 shared papers)Shalin B. Mehta (2 shared papers)Clare M. Waterman (2 shared papers)Nobuyasu Koga (2 shared papers)
- Journals
- Blood (2 papers)Nature Communications (2 papers)Journal of the American College of Cardiology (2 papers)Cell Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Travis I. Moore
17 papers receiving 498 citations
Peers
Comparison fields: 5 of 86
- Immunology and Allergy 100
- Cell Biology 157
- Biophysics 42
- Immunology 95
- Structural Biology 6
Countries citing papers authored by Travis I. Moore
This map shows the geographic impact of Travis I. Moore's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Travis I. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis I. Moore more than expected).
Fields of papers citing papers by Travis I. Moore
This network shows the impact of papers produced by Travis I. Moore. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Travis I. Moore. The network helps show where Travis I. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Travis I. Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 94 | |
| 2 | 2017 | 92 | |
| 3 | 2017 | 73 | |
| 4 | 2008 | 60 | |
| 5 | 2006 | 50 | |
| 6 | 2018 | 45 | |
| 7 | 2004 | 17 | |
| 8 | 2012 | 17 | |
| 9 | 2024 | 16 | |
| 10 | 2012 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2012 | 6 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2014 | 2 | |
| 16 | 2003 | 1 | |
| 17 | Marine source ω-3 fatty acid, docosahexaenoic acid (DHA), inhibits human colorectal cancer growth through multiple mechanisms depending on the mutational status of p53 protein | 2005 | 1 |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Travis I. Moore
Travis I. Moore is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Immunology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 505 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Cell Adhesion Molecules Research (3 papers), T-cell and B-cell Immunology (3 papers), Cellular Mechanics and Interactions (3 papers), Metabolism and Genetic Disorders (2 papers), CAR-T cell therapy research (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Immunology and Allergy (100 citations), Cell Biology (157 citations), Biophysics (42 citations), Immunology (95 citations) and Structural Biology (6 citations). Travis I. Moore has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Tau‐Mu Yi, Timothy A. Springer, Noo Li Jeon, Qing Nie, Ching‐Shan Chou, Shalin B. Mehta, Clare M. Waterman, Nobuyasu Koga, Vinay Swaminathan and Satyajit Mayor. Their work appears in journals such as Blood, Nature Communications, Journal of the American College of Cardiology, Cell Reports and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.